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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationTue, 20 Jan 2015 10:57:09 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Jan/20/t1421751498jw4027dybojc6wp.htm/, Retrieved Thu, 31 Oct 2024 23:56:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=275065, Retrieved Thu, 31 Oct 2024 23:56:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact71
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [] [2015-01-20 10:57:09] [2493f5613ad82cc6ad9068825c65e4dc] [Current]
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Dataseries X:
21
22
22
18
23
12
20
22
21
19
22
15
20
19
18
15
20
21
21
15
16
23
21
18
25
9
30
20
23
16
16
19
25
18
23
21
10
14
22
26
23
23
24
24
18
23
15
19
16
25
23
17
19
21
18
27
21
13
8
29
28
23
21
19
19
20
18
19
17
19
25
19
22
23
14
16
24
20
12
24
22
12
22
20
10
23
17
22
24
18
21
20
20
22
19
20
26
23
24
21
21
19
8
17
20
11
8
15
18
18
19
19
23
22
21
25
30
17
27
23
23
18
18
23
19
15
20
16
24
25
25
19
19
16
19
19
23
21
22
19
20
20
3
23
23
20
15
16
7
24
17
24
24
19
25
20
28
23
27
18
28
21
19
23
27
22
28
25
21
22
28
20
29
25
25
20
20
16
20
20
23
18
25
18
19
25
25
25
24
19
26
10
17
13
17
30
25
4
16
21
23
22
17
20
20
22
16
23
0
18
25
23
12
18
24
11
18
23
24
29
18
15
29
16
19
22
16
23
23
19
4
20
24
20
4
24
22
16
3
15
24
17
20
27
26
23
17
20
22
19
24
19
23
15
27
26
22
22
18
15
22
27
10
20
17
23
19
13
27
23
16
25
2
26
20
23
22
24




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275065&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275065&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275065&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean19.99640287769780.30698430449108765.138193012335
Geometric Mean0
Harmonic Mean0
Quadratic Mean20.6388088719935
Winsorized Mean ( 1 / 92 )20.00359712230220.30537260374986865.5055393858685
Winsorized Mean ( 2 / 92 )20.01079136690650.30387996535925665.8509729104684
Winsorized Mean ( 3 / 92 )200.30266029091156566.0806871617124
Winsorized Mean ( 4 / 92 )20.01438848920860.29981386251295766.7560476405379
Winsorized Mean ( 5 / 92 )20.01438848920860.29981386251295766.7560476405379
Winsorized Mean ( 6 / 92 )20.01438848920860.29981386251295766.7560476405379
Winsorized Mean ( 7 / 92 )20.06474820143880.28358447770056770.7540425489189
Winsorized Mean ( 8 / 92 )20.09352517985610.27893818861554572.0357627601527
Winsorized Mean ( 9 / 92 )20.09352517985610.27893818861554572.0357627601527
Winsorized Mean ( 10 / 92 )20.09352517985610.27893818861554572.0357627601527
Winsorized Mean ( 11 / 92 )20.13309352517990.27292614974363373.7675504677416
Winsorized Mean ( 12 / 92 )20.13309352517990.26244757713236476.7128191662668
Winsorized Mean ( 13 / 92 )20.13309352517990.26244757713236476.7128191662668
Winsorized Mean ( 14 / 92 )20.13309352517990.26244757713236476.7128191662668
Winsorized Mean ( 15 / 92 )20.13309352517990.26244757713236476.7128191662668
Winsorized Mean ( 16 / 92 )20.19064748201440.25468356993311679.2773852169451
Winsorized Mean ( 17 / 92 )20.19064748201440.25468356993311679.2773852169451
Winsorized Mean ( 18 / 92 )20.25539568345320.24654764803884182.1561099632237
Winsorized Mean ( 19 / 92 )20.25539568345320.24654764803884182.1561099632237
Winsorized Mean ( 20 / 92 )20.18345323741010.23984028085617984.1537258268686
Winsorized Mean ( 21 / 92 )20.18345323741010.23984028085617984.1537258268686
Winsorized Mean ( 22 / 92 )20.26258992805760.23045726065035687.9234174305295
Winsorized Mean ( 23 / 92 )20.26258992805760.23045726065035687.9234174305295
Winsorized Mean ( 24 / 92 )20.26258992805760.23045726065035687.9234174305295
Winsorized Mean ( 25 / 92 )20.35251798561150.22065902163972692.2351501170046
Winsorized Mean ( 26 / 92 )20.25899280575540.21256263922411895.3083424241597
Winsorized Mean ( 27 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 28 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 29 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 30 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 31 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 32 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 33 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 34 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 35 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 36 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 37 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 38 / 92 )20.49280575539570.190394945300811107.633139750735
Winsorized Mean ( 39 / 92 )20.49280575539570.190394945300811107.633139750735
Winsorized Mean ( 40 / 92 )20.49280575539570.190394945300811107.633139750735
Winsorized Mean ( 41 / 92 )20.49280575539570.190394945300811107.633139750735
Winsorized Mean ( 42 / 92 )20.49280575539570.190394945300811107.633139750735
Winsorized Mean ( 43 / 92 )20.49280575539570.190394945300811107.633139750735
Winsorized Mean ( 44 / 92 )20.33453237410070.177709050342479114.425980752878
Winsorized Mean ( 45 / 92 )20.33453237410070.177709050342479114.425980752878
Winsorized Mean ( 46 / 92 )20.33453237410070.177709050342479114.425980752878
Winsorized Mean ( 47 / 92 )20.33453237410070.177709050342479114.425980752878
Winsorized Mean ( 48 / 92 )20.33453237410070.177709050342479114.425980752878
Winsorized Mean ( 49 / 92 )20.33453237410070.177709050342479114.425980752878
Winsorized Mean ( 50 / 92 )20.33453237410070.177709050342479114.425980752878
Winsorized Mean ( 51 / 92 )20.33453237410070.177709050342479114.425980752878
Winsorized Mean ( 52 / 92 )20.33453237410070.177709050342479114.425980752878
Winsorized Mean ( 53 / 92 )20.52517985611510.16177452302227126.875230244317
Winsorized Mean ( 54 / 92 )20.52517985611510.16177452302227126.875230244317
Winsorized Mean ( 55 / 92 )20.52517985611510.16177452302227126.875230244317
Winsorized Mean ( 56 / 92 )20.52517985611510.16177452302227126.875230244317
Winsorized Mean ( 57 / 92 )20.52517985611510.16177452302227126.875230244317
Winsorized Mean ( 58 / 92 )20.52517985611510.16177452302227126.875230244317
Winsorized Mean ( 59 / 92 )20.52517985611510.16177452302227126.875230244317
Winsorized Mean ( 60 / 92 )20.52517985611510.16177452302227126.875230244317
Winsorized Mean ( 61 / 92 )20.52517985611510.16177452302227126.875230244317
Winsorized Mean ( 62 / 92 )20.30215827338130.145606278314147139.4318878859
Winsorized Mean ( 63 / 92 )20.30215827338130.145606278314147139.4318878859
Winsorized Mean ( 64 / 92 )20.30215827338130.145606278314147139.4318878859
Winsorized Mean ( 65 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 66 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 67 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 68 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 69 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 70 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 71 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 72 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 73 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 74 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 75 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 76 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 77 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 78 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 79 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 80 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 81 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 82 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 83 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 84 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 85 / 92 )20.8417266187050.106963237064692194.849437906408
Winsorized Mean ( 86 / 92 )20.8417266187050.106963237064692194.849437906408
Winsorized Mean ( 87 / 92 )20.8417266187050.106963237064692194.849437906408
Winsorized Mean ( 88 / 92 )20.8417266187050.106963237064692194.849437906408
Winsorized Mean ( 89 / 92 )20.8417266187050.106963237064692194.849437906408
Winsorized Mean ( 90 / 92 )20.8417266187050.106963237064692194.849437906408
Winsorized Mean ( 91 / 92 )20.8417266187050.106963237064692194.849437906408
Winsorized Mean ( 92 / 92 )20.8417266187050.106963237064692194.849437906408
Trimmed Mean ( 1 / 92 )20.03260869565220.29836415048447667.1414734750262
Trimmed Mean ( 2 / 92 )20.06204379562040.29094571862323168.9545936285125
Trimmed Mean ( 3 / 92 )20.08823529411760.28391799989042770.7536517651939
Trimmed Mean ( 4 / 92 )20.11851851851850.27693488159477772.6471089617263
Trimmed Mean ( 5 / 92 )20.14552238805970.27038513252439674.5067681790604
Trimmed Mean ( 6 / 92 )20.17293233082710.26343985057302676.575097833329
Trimmed Mean ( 7 / 92 )20.20075757575760.25605806216015278.8913163106068
Trimmed Mean ( 8 / 92 )20.22137404580150.25126279604934380.4789820210009
Trimmed Mean ( 9 / 92 )20.23846153846150.24696600870109281.9483687042801
Trimmed Mean ( 10 / 92 )20.25581395348840.24243497147965483.5515347883228
Trimmed Mean ( 11 / 92 )20.27343750.23765021613661485.3078858061957
Trimmed Mean ( 12 / 92 )20.28740157480310.23337703856906286.9297241030833
Trimmed Mean ( 13 / 92 )20.30158730158730.23010475252232788.2275879965472
Trimmed Mean ( 14 / 92 )20.3160.22665849264732389.632644083676
Trimmed Mean ( 15 / 92 )20.33064516129030.22302516213625491.1585265382281
Trimmed Mean ( 16 / 92 )20.34552845528460.21919010469460492.8213820766765
Trimmed Mean ( 17 / 92 )20.35655737704920.21590831072603794.2833432793579
Trimmed Mean ( 18 / 92 )20.36776859504130.21244616554808495.8726110329885
Trimmed Mean ( 19 / 92 )20.3750.20952934240281197.2417503264527
Trimmed Mean ( 20 / 92 )20.38235294117650.20645394034842498.7259090660997
Trimmed Mean ( 21 / 92 )20.39406779661020.203749194185352100.093980141377
Trimmed Mean ( 22 / 92 )20.40598290598290.200894501261285101.57561694256
Trimmed Mean ( 23 / 92 )20.41379310344830.198623597406192102.776273162052
Trimmed Mean ( 24 / 92 )20.42173913043480.196228503729365104.071216680122
Trimmed Mean ( 25 / 92 )20.42982456140350.193700404849022105.471253802115
Trimmed Mean ( 26 / 92 )20.43362831858410.191742228264609106.568221844096
Trimmed Mean ( 27 / 92 )20.44196428571430.190209471824435107.470800952449
Trimmed Mean ( 28 / 92 )20.44594594594590.189232132887695108.046903207925
Trimmed Mean ( 29 / 92 )20.450.188197298942313108.662558468857
Trimmed Mean ( 30 / 92 )20.4541284403670.187101584734781109.320979132063
Trimmed Mean ( 31 / 92 )20.45833333333330.185941339512975110.02573923001
Trimmed Mean ( 32 / 92 )20.46261682242990.184712618901129110.780827775405
Trimmed Mean ( 33 / 92 )20.46698113207550.183411152840878111.59071198812
Trimmed Mean ( 34 / 92 )20.47142857142860.182032308894949112.460412636103
Trimmed Mean ( 35 / 92 )20.47596153846150.180571050054305113.395594323141
Trimmed Mean ( 36 / 92 )20.48058252427180.179021885992051114.402674347768
Trimmed Mean ( 37 / 92 )20.48529411764710.177378816455122115.48895480893
Trimmed Mean ( 38 / 92 )20.4900990099010.175635265159539116.662784044472
Trimmed Mean ( 39 / 92 )20.490.174504323138339117.418294466874
Trimmed Mean ( 40 / 92 )20.4898989898990.173301249351263118.23284059752
Trimmed Mean ( 41 / 92 )20.48979591836730.172021227670149119.112020044738
Trimmed Mean ( 42 / 92 )20.48969072164950.170659005209392120.062171325266
Trimmed Mean ( 43 / 92 )20.48958333333330.169208837989314121.090503172342
Trimmed Mean ( 44 / 92 )20.48947368421050.167664427568954122.205252368061
Trimmed Mean ( 45 / 92 )20.49468085106380.166704134746782122.940447051266
Trimmed Mean ( 46 / 92 )20.50.165675635378572123.735756034115
Trimmed Mean ( 47 / 92 )20.50543478260870.164574168212988124.59692189403
Trimmed Mean ( 48 / 92 )20.5109890109890.163394530228498125.530450635683
Trimmed Mean ( 49 / 92 )20.5109890109890.162131021190512126.508726463196
Trimmed Mean ( 50 / 92 )20.52247191011240.160777378982776127.645269750982
Trimmed Mean ( 51 / 92 )20.52840909090910.159326703738586128.844748615342
Trimmed Mean ( 52 / 92 )20.53448275862070.157771368270081130.153417465891
Trimmed Mean ( 53 / 92 )20.54069767441860.15610291159532131.584334106901
Trimmed Mean ( 54 / 92 )20.54117647058820.155221428209357132.334669945718
Trimmed Mean ( 55 / 92 )20.54166666666670.154269659799349133.154287715317
Trimmed Mean ( 56 / 92 )20.54216867469880.153242288391085134.050260475579
Trimmed Mean ( 57 / 92 )20.54268292682930.152133466017754135.030663959447
Trimmed Mean ( 58 / 92 )20.54320987654320.150936743629809136.104764038954
Trimmed Mean ( 59 / 92 )20.543750.149644987381561137.283248570285
Trimmed Mean ( 60 / 92 )20.54430379746840.14825027940811138.578516543048
Trimmed Mean ( 61 / 92 )20.54487179487180.146743799380319140.005041995847
Trimmed Mean ( 62 / 92 )20.54545454545450.145115682010984141.579836587885
Trimmed Mean ( 63 / 92 )20.55263157894740.144248836670571142.480397439076
Trimmed Mean ( 64 / 92 )20.560.143300813125766143.474412681496
Trimmed Mean ( 65 / 92 )20.56756756756760.142264589021324144.572642490006
Trimmed Mean ( 66 / 92 )20.56849315068490.142156790446532144.68878402556
Trimmed Mean ( 67 / 92 )20.56944444444440.142015126694176144.839813358333
Trimmed Mean ( 68 / 92 )20.57042253521130.141836734688713145.028878311086
Trimmed Mean ( 69 / 92 )20.57142857142860.141618473727876145.259499201758
Trimmed Mean ( 70 / 92 )20.57246376811590.141356892258717145.535625744115
Trimmed Mean ( 71 / 92 )20.57352941176470.141048189721306145.861704800434
Trimmed Mean ( 72 / 92 )20.57462686567160.140688172558459146.242761502374
Trimmed Mean ( 73 / 92 )20.57575757575760.140272203289314146.6844969514
Trimmed Mean ( 74 / 92 )20.57692307692310.139795141290283147.193406630602
Trimmed Mean ( 75 / 92 )20.5781250.139251273602086147.776924890486
Trimmed Mean ( 76 / 92 )20.57936507936510.138634233662758148.443602533458
Trimmed Mean ( 77 / 92 )20.58064516129030.137936905321474149.203326791516
Trimmed Mean ( 78 / 92 )20.58196721311480.137151308771323150.067596127951
Trimmed Mean ( 79 / 92 )20.58333333333330.136268464086114151.049866683211
Trimmed Mean ( 80 / 92 )20.58474576271190.135278226763618152.165993413568
Trimmed Mean ( 81 / 92 )20.58620689655170.134169087928287153.434797943584
Trimmed Mean ( 82 / 92 )20.58771929824560.132927929425998154.878808292181
Trimmed Mean ( 83 / 92 )20.58928571428570.131539720640837156.525235221563
Trimmed Mean ( 84 / 92 )20.59090909090910.129987138996503158.407279749907
Trimmed Mean ( 85 / 92 )20.59259259259260.128250089006018160.565912680391
Trimmed Mean ( 86 / 92 )20.58490566037740.127782894080003161.092811432878
Trimmed Mean ( 87 / 92 )20.57692307692310.127224278813242161.737392177548
Trimmed Mean ( 88 / 92 )20.56862745098040.126563070512775162.51681764393
Trimmed Mean ( 89 / 92 )20.560.125786415094088163.451673096981
Trimmed Mean ( 90 / 92 )20.55102040816330.124879448690138164.566873282378
Trimmed Mean ( 91 / 92 )20.54166666666670.123824885783033165.892877968487
Trimmed Mean ( 92 / 92 )20.5319148936170.122602496500489167.467347563637
Median20
Midrange15
Midmean - Weighted Average at Xnp20.6158940397351
Midmean - Weighted Average at X(n+1)p20.6158940397351
Midmean - Empirical Distribution Function20.6158940397351
Midmean - Empirical Distribution Function - Averaging20.6158940397351
Midmean - Empirical Distribution Function - Interpolation20.6158940397351
Midmean - Closest Observation20.6158940397351
Midmean - True Basic - Statistics Graphics Toolkit20.6158940397351
Midmean - MS Excel (old versions)20.6158940397351
Number of observations278

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 19.9964028776978 & 0.306984304491087 & 65.138193012335 \tabularnewline
Geometric Mean & 0 &  &  \tabularnewline
Harmonic Mean & 0 &  &  \tabularnewline
Quadratic Mean & 20.6388088719935 &  &  \tabularnewline
Winsorized Mean ( 1 / 92 ) & 20.0035971223022 & 0.305372603749868 & 65.5055393858685 \tabularnewline
Winsorized Mean ( 2 / 92 ) & 20.0107913669065 & 0.303879965359256 & 65.8509729104684 \tabularnewline
Winsorized Mean ( 3 / 92 ) & 20 & 0.302660290911565 & 66.0806871617124 \tabularnewline
Winsorized Mean ( 4 / 92 ) & 20.0143884892086 & 0.299813862512957 & 66.7560476405379 \tabularnewline
Winsorized Mean ( 5 / 92 ) & 20.0143884892086 & 0.299813862512957 & 66.7560476405379 \tabularnewline
Winsorized Mean ( 6 / 92 ) & 20.0143884892086 & 0.299813862512957 & 66.7560476405379 \tabularnewline
Winsorized Mean ( 7 / 92 ) & 20.0647482014388 & 0.283584477700567 & 70.7540425489189 \tabularnewline
Winsorized Mean ( 8 / 92 ) & 20.0935251798561 & 0.278938188615545 & 72.0357627601527 \tabularnewline
Winsorized Mean ( 9 / 92 ) & 20.0935251798561 & 0.278938188615545 & 72.0357627601527 \tabularnewline
Winsorized Mean ( 10 / 92 ) & 20.0935251798561 & 0.278938188615545 & 72.0357627601527 \tabularnewline
Winsorized Mean ( 11 / 92 ) & 20.1330935251799 & 0.272926149743633 & 73.7675504677416 \tabularnewline
Winsorized Mean ( 12 / 92 ) & 20.1330935251799 & 0.262447577132364 & 76.7128191662668 \tabularnewline
Winsorized Mean ( 13 / 92 ) & 20.1330935251799 & 0.262447577132364 & 76.7128191662668 \tabularnewline
Winsorized Mean ( 14 / 92 ) & 20.1330935251799 & 0.262447577132364 & 76.7128191662668 \tabularnewline
Winsorized Mean ( 15 / 92 ) & 20.1330935251799 & 0.262447577132364 & 76.7128191662668 \tabularnewline
Winsorized Mean ( 16 / 92 ) & 20.1906474820144 & 0.254683569933116 & 79.2773852169451 \tabularnewline
Winsorized Mean ( 17 / 92 ) & 20.1906474820144 & 0.254683569933116 & 79.2773852169451 \tabularnewline
Winsorized Mean ( 18 / 92 ) & 20.2553956834532 & 0.246547648038841 & 82.1561099632237 \tabularnewline
Winsorized Mean ( 19 / 92 ) & 20.2553956834532 & 0.246547648038841 & 82.1561099632237 \tabularnewline
Winsorized Mean ( 20 / 92 ) & 20.1834532374101 & 0.239840280856179 & 84.1537258268686 \tabularnewline
Winsorized Mean ( 21 / 92 ) & 20.1834532374101 & 0.239840280856179 & 84.1537258268686 \tabularnewline
Winsorized Mean ( 22 / 92 ) & 20.2625899280576 & 0.230457260650356 & 87.9234174305295 \tabularnewline
Winsorized Mean ( 23 / 92 ) & 20.2625899280576 & 0.230457260650356 & 87.9234174305295 \tabularnewline
Winsorized Mean ( 24 / 92 ) & 20.2625899280576 & 0.230457260650356 & 87.9234174305295 \tabularnewline
Winsorized Mean ( 25 / 92 ) & 20.3525179856115 & 0.220659021639726 & 92.2351501170046 \tabularnewline
Winsorized Mean ( 26 / 92 ) & 20.2589928057554 & 0.212562639224118 & 95.3083424241597 \tabularnewline
Winsorized Mean ( 27 / 92 ) & 20.3561151079137 & 0.202756905887137 & 100.396654894925 \tabularnewline
Winsorized Mean ( 28 / 92 ) & 20.3561151079137 & 0.202756905887137 & 100.396654894925 \tabularnewline
Winsorized Mean ( 29 / 92 ) & 20.3561151079137 & 0.202756905887137 & 100.396654894925 \tabularnewline
Winsorized Mean ( 30 / 92 ) & 20.3561151079137 & 0.202756905887137 & 100.396654894925 \tabularnewline
Winsorized Mean ( 31 / 92 ) & 20.3561151079137 & 0.202756905887137 & 100.396654894925 \tabularnewline
Winsorized Mean ( 32 / 92 ) & 20.3561151079137 & 0.202756905887137 & 100.396654894925 \tabularnewline
Winsorized Mean ( 33 / 92 ) & 20.3561151079137 & 0.202756905887137 & 100.396654894925 \tabularnewline
Winsorized Mean ( 34 / 92 ) & 20.3561151079137 & 0.202756905887137 & 100.396654894925 \tabularnewline
Winsorized Mean ( 35 / 92 ) & 20.3561151079137 & 0.202756905887137 & 100.396654894925 \tabularnewline
Winsorized Mean ( 36 / 92 ) & 20.3561151079137 & 0.202756905887137 & 100.396654894925 \tabularnewline
Winsorized Mean ( 37 / 92 ) & 20.3561151079137 & 0.202756905887137 & 100.396654894925 \tabularnewline
Winsorized Mean ( 38 / 92 ) & 20.4928057553957 & 0.190394945300811 & 107.633139750735 \tabularnewline
Winsorized Mean ( 39 / 92 ) & 20.4928057553957 & 0.190394945300811 & 107.633139750735 \tabularnewline
Winsorized Mean ( 40 / 92 ) & 20.4928057553957 & 0.190394945300811 & 107.633139750735 \tabularnewline
Winsorized Mean ( 41 / 92 ) & 20.4928057553957 & 0.190394945300811 & 107.633139750735 \tabularnewline
Winsorized Mean ( 42 / 92 ) & 20.4928057553957 & 0.190394945300811 & 107.633139750735 \tabularnewline
Winsorized Mean ( 43 / 92 ) & 20.4928057553957 & 0.190394945300811 & 107.633139750735 \tabularnewline
Winsorized Mean ( 44 / 92 ) & 20.3345323741007 & 0.177709050342479 & 114.425980752878 \tabularnewline
Winsorized Mean ( 45 / 92 ) & 20.3345323741007 & 0.177709050342479 & 114.425980752878 \tabularnewline
Winsorized Mean ( 46 / 92 ) & 20.3345323741007 & 0.177709050342479 & 114.425980752878 \tabularnewline
Winsorized Mean ( 47 / 92 ) & 20.3345323741007 & 0.177709050342479 & 114.425980752878 \tabularnewline
Winsorized Mean ( 48 / 92 ) & 20.3345323741007 & 0.177709050342479 & 114.425980752878 \tabularnewline
Winsorized Mean ( 49 / 92 ) & 20.3345323741007 & 0.177709050342479 & 114.425980752878 \tabularnewline
Winsorized Mean ( 50 / 92 ) & 20.3345323741007 & 0.177709050342479 & 114.425980752878 \tabularnewline
Winsorized Mean ( 51 / 92 ) & 20.3345323741007 & 0.177709050342479 & 114.425980752878 \tabularnewline
Winsorized Mean ( 52 / 92 ) & 20.3345323741007 & 0.177709050342479 & 114.425980752878 \tabularnewline
Winsorized Mean ( 53 / 92 ) & 20.5251798561151 & 0.16177452302227 & 126.875230244317 \tabularnewline
Winsorized Mean ( 54 / 92 ) & 20.5251798561151 & 0.16177452302227 & 126.875230244317 \tabularnewline
Winsorized Mean ( 55 / 92 ) & 20.5251798561151 & 0.16177452302227 & 126.875230244317 \tabularnewline
Winsorized Mean ( 56 / 92 ) & 20.5251798561151 & 0.16177452302227 & 126.875230244317 \tabularnewline
Winsorized Mean ( 57 / 92 ) & 20.5251798561151 & 0.16177452302227 & 126.875230244317 \tabularnewline
Winsorized Mean ( 58 / 92 ) & 20.5251798561151 & 0.16177452302227 & 126.875230244317 \tabularnewline
Winsorized Mean ( 59 / 92 ) & 20.5251798561151 & 0.16177452302227 & 126.875230244317 \tabularnewline
Winsorized Mean ( 60 / 92 ) & 20.5251798561151 & 0.16177452302227 & 126.875230244317 \tabularnewline
Winsorized Mean ( 61 / 92 ) & 20.5251798561151 & 0.16177452302227 & 126.875230244317 \tabularnewline
Winsorized Mean ( 62 / 92 ) & 20.3021582733813 & 0.145606278314147 & 139.4318878859 \tabularnewline
Winsorized Mean ( 63 / 92 ) & 20.3021582733813 & 0.145606278314147 & 139.4318878859 \tabularnewline
Winsorized Mean ( 64 / 92 ) & 20.3021582733813 & 0.145606278314147 & 139.4318878859 \tabularnewline
Winsorized Mean ( 65 / 92 ) & 20.5359712230216 & 0.127566771315786 & 160.982135168928 \tabularnewline
Winsorized Mean ( 66 / 92 ) & 20.5359712230216 & 0.127566771315786 & 160.982135168928 \tabularnewline
Winsorized Mean ( 67 / 92 ) & 20.5359712230216 & 0.127566771315786 & 160.982135168928 \tabularnewline
Winsorized Mean ( 68 / 92 ) & 20.5359712230216 & 0.127566771315786 & 160.982135168928 \tabularnewline
Winsorized Mean ( 69 / 92 ) & 20.5359712230216 & 0.127566771315786 & 160.982135168928 \tabularnewline
Winsorized Mean ( 70 / 92 ) & 20.5359712230216 & 0.127566771315786 & 160.982135168928 \tabularnewline
Winsorized Mean ( 71 / 92 ) & 20.5359712230216 & 0.127566771315786 & 160.982135168928 \tabularnewline
Winsorized Mean ( 72 / 92 ) & 20.5359712230216 & 0.127566771315786 & 160.982135168928 \tabularnewline
Winsorized Mean ( 73 / 92 ) & 20.5359712230216 & 0.127566771315786 & 160.982135168928 \tabularnewline
Winsorized Mean ( 74 / 92 ) & 20.5359712230216 & 0.127566771315786 & 160.982135168928 \tabularnewline
Winsorized Mean ( 75 / 92 ) & 20.5359712230216 & 0.127566771315786 & 160.982135168928 \tabularnewline
Winsorized Mean ( 76 / 92 ) & 20.5359712230216 & 0.127566771315786 & 160.982135168928 \tabularnewline
Winsorized Mean ( 77 / 92 ) & 20.5359712230216 & 0.127566771315786 & 160.982135168928 \tabularnewline
Winsorized Mean ( 78 / 92 ) & 20.5359712230216 & 0.127566771315786 & 160.982135168928 \tabularnewline
Winsorized Mean ( 79 / 92 ) & 20.5359712230216 & 0.127566771315786 & 160.982135168928 \tabularnewline
Winsorized Mean ( 80 / 92 ) & 20.5359712230216 & 0.127566771315786 & 160.982135168928 \tabularnewline
Winsorized Mean ( 81 / 92 ) & 20.5359712230216 & 0.127566771315786 & 160.982135168928 \tabularnewline
Winsorized Mean ( 82 / 92 ) & 20.5359712230216 & 0.127566771315786 & 160.982135168928 \tabularnewline
Winsorized Mean ( 83 / 92 ) & 20.5359712230216 & 0.127566771315786 & 160.982135168928 \tabularnewline
Winsorized Mean ( 84 / 92 ) & 20.5359712230216 & 0.127566771315786 & 160.982135168928 \tabularnewline
Winsorized Mean ( 85 / 92 ) & 20.841726618705 & 0.106963237064692 & 194.849437906408 \tabularnewline
Winsorized Mean ( 86 / 92 ) & 20.841726618705 & 0.106963237064692 & 194.849437906408 \tabularnewline
Winsorized Mean ( 87 / 92 ) & 20.841726618705 & 0.106963237064692 & 194.849437906408 \tabularnewline
Winsorized Mean ( 88 / 92 ) & 20.841726618705 & 0.106963237064692 & 194.849437906408 \tabularnewline
Winsorized Mean ( 89 / 92 ) & 20.841726618705 & 0.106963237064692 & 194.849437906408 \tabularnewline
Winsorized Mean ( 90 / 92 ) & 20.841726618705 & 0.106963237064692 & 194.849437906408 \tabularnewline
Winsorized Mean ( 91 / 92 ) & 20.841726618705 & 0.106963237064692 & 194.849437906408 \tabularnewline
Winsorized Mean ( 92 / 92 ) & 20.841726618705 & 0.106963237064692 & 194.849437906408 \tabularnewline
Trimmed Mean ( 1 / 92 ) & 20.0326086956522 & 0.298364150484476 & 67.1414734750262 \tabularnewline
Trimmed Mean ( 2 / 92 ) & 20.0620437956204 & 0.290945718623231 & 68.9545936285125 \tabularnewline
Trimmed Mean ( 3 / 92 ) & 20.0882352941176 & 0.283917999890427 & 70.7536517651939 \tabularnewline
Trimmed Mean ( 4 / 92 ) & 20.1185185185185 & 0.276934881594777 & 72.6471089617263 \tabularnewline
Trimmed Mean ( 5 / 92 ) & 20.1455223880597 & 0.270385132524396 & 74.5067681790604 \tabularnewline
Trimmed Mean ( 6 / 92 ) & 20.1729323308271 & 0.263439850573026 & 76.575097833329 \tabularnewline
Trimmed Mean ( 7 / 92 ) & 20.2007575757576 & 0.256058062160152 & 78.8913163106068 \tabularnewline
Trimmed Mean ( 8 / 92 ) & 20.2213740458015 & 0.251262796049343 & 80.4789820210009 \tabularnewline
Trimmed Mean ( 9 / 92 ) & 20.2384615384615 & 0.246966008701092 & 81.9483687042801 \tabularnewline
Trimmed Mean ( 10 / 92 ) & 20.2558139534884 & 0.242434971479654 & 83.5515347883228 \tabularnewline
Trimmed Mean ( 11 / 92 ) & 20.2734375 & 0.237650216136614 & 85.3078858061957 \tabularnewline
Trimmed Mean ( 12 / 92 ) & 20.2874015748031 & 0.233377038569062 & 86.9297241030833 \tabularnewline
Trimmed Mean ( 13 / 92 ) & 20.3015873015873 & 0.230104752522327 & 88.2275879965472 \tabularnewline
Trimmed Mean ( 14 / 92 ) & 20.316 & 0.226658492647323 & 89.632644083676 \tabularnewline
Trimmed Mean ( 15 / 92 ) & 20.3306451612903 & 0.223025162136254 & 91.1585265382281 \tabularnewline
Trimmed Mean ( 16 / 92 ) & 20.3455284552846 & 0.219190104694604 & 92.8213820766765 \tabularnewline
Trimmed Mean ( 17 / 92 ) & 20.3565573770492 & 0.215908310726037 & 94.2833432793579 \tabularnewline
Trimmed Mean ( 18 / 92 ) & 20.3677685950413 & 0.212446165548084 & 95.8726110329885 \tabularnewline
Trimmed Mean ( 19 / 92 ) & 20.375 & 0.209529342402811 & 97.2417503264527 \tabularnewline
Trimmed Mean ( 20 / 92 ) & 20.3823529411765 & 0.206453940348424 & 98.7259090660997 \tabularnewline
Trimmed Mean ( 21 / 92 ) & 20.3940677966102 & 0.203749194185352 & 100.093980141377 \tabularnewline
Trimmed Mean ( 22 / 92 ) & 20.4059829059829 & 0.200894501261285 & 101.57561694256 \tabularnewline
Trimmed Mean ( 23 / 92 ) & 20.4137931034483 & 0.198623597406192 & 102.776273162052 \tabularnewline
Trimmed Mean ( 24 / 92 ) & 20.4217391304348 & 0.196228503729365 & 104.071216680122 \tabularnewline
Trimmed Mean ( 25 / 92 ) & 20.4298245614035 & 0.193700404849022 & 105.471253802115 \tabularnewline
Trimmed Mean ( 26 / 92 ) & 20.4336283185841 & 0.191742228264609 & 106.568221844096 \tabularnewline
Trimmed Mean ( 27 / 92 ) & 20.4419642857143 & 0.190209471824435 & 107.470800952449 \tabularnewline
Trimmed Mean ( 28 / 92 ) & 20.4459459459459 & 0.189232132887695 & 108.046903207925 \tabularnewline
Trimmed Mean ( 29 / 92 ) & 20.45 & 0.188197298942313 & 108.662558468857 \tabularnewline
Trimmed Mean ( 30 / 92 ) & 20.454128440367 & 0.187101584734781 & 109.320979132063 \tabularnewline
Trimmed Mean ( 31 / 92 ) & 20.4583333333333 & 0.185941339512975 & 110.02573923001 \tabularnewline
Trimmed Mean ( 32 / 92 ) & 20.4626168224299 & 0.184712618901129 & 110.780827775405 \tabularnewline
Trimmed Mean ( 33 / 92 ) & 20.4669811320755 & 0.183411152840878 & 111.59071198812 \tabularnewline
Trimmed Mean ( 34 / 92 ) & 20.4714285714286 & 0.182032308894949 & 112.460412636103 \tabularnewline
Trimmed Mean ( 35 / 92 ) & 20.4759615384615 & 0.180571050054305 & 113.395594323141 \tabularnewline
Trimmed Mean ( 36 / 92 ) & 20.4805825242718 & 0.179021885992051 & 114.402674347768 \tabularnewline
Trimmed Mean ( 37 / 92 ) & 20.4852941176471 & 0.177378816455122 & 115.48895480893 \tabularnewline
Trimmed Mean ( 38 / 92 ) & 20.490099009901 & 0.175635265159539 & 116.662784044472 \tabularnewline
Trimmed Mean ( 39 / 92 ) & 20.49 & 0.174504323138339 & 117.418294466874 \tabularnewline
Trimmed Mean ( 40 / 92 ) & 20.489898989899 & 0.173301249351263 & 118.23284059752 \tabularnewline
Trimmed Mean ( 41 / 92 ) & 20.4897959183673 & 0.172021227670149 & 119.112020044738 \tabularnewline
Trimmed Mean ( 42 / 92 ) & 20.4896907216495 & 0.170659005209392 & 120.062171325266 \tabularnewline
Trimmed Mean ( 43 / 92 ) & 20.4895833333333 & 0.169208837989314 & 121.090503172342 \tabularnewline
Trimmed Mean ( 44 / 92 ) & 20.4894736842105 & 0.167664427568954 & 122.205252368061 \tabularnewline
Trimmed Mean ( 45 / 92 ) & 20.4946808510638 & 0.166704134746782 & 122.940447051266 \tabularnewline
Trimmed Mean ( 46 / 92 ) & 20.5 & 0.165675635378572 & 123.735756034115 \tabularnewline
Trimmed Mean ( 47 / 92 ) & 20.5054347826087 & 0.164574168212988 & 124.59692189403 \tabularnewline
Trimmed Mean ( 48 / 92 ) & 20.510989010989 & 0.163394530228498 & 125.530450635683 \tabularnewline
Trimmed Mean ( 49 / 92 ) & 20.510989010989 & 0.162131021190512 & 126.508726463196 \tabularnewline
Trimmed Mean ( 50 / 92 ) & 20.5224719101124 & 0.160777378982776 & 127.645269750982 \tabularnewline
Trimmed Mean ( 51 / 92 ) & 20.5284090909091 & 0.159326703738586 & 128.844748615342 \tabularnewline
Trimmed Mean ( 52 / 92 ) & 20.5344827586207 & 0.157771368270081 & 130.153417465891 \tabularnewline
Trimmed Mean ( 53 / 92 ) & 20.5406976744186 & 0.15610291159532 & 131.584334106901 \tabularnewline
Trimmed Mean ( 54 / 92 ) & 20.5411764705882 & 0.155221428209357 & 132.334669945718 \tabularnewline
Trimmed Mean ( 55 / 92 ) & 20.5416666666667 & 0.154269659799349 & 133.154287715317 \tabularnewline
Trimmed Mean ( 56 / 92 ) & 20.5421686746988 & 0.153242288391085 & 134.050260475579 \tabularnewline
Trimmed Mean ( 57 / 92 ) & 20.5426829268293 & 0.152133466017754 & 135.030663959447 \tabularnewline
Trimmed Mean ( 58 / 92 ) & 20.5432098765432 & 0.150936743629809 & 136.104764038954 \tabularnewline
Trimmed Mean ( 59 / 92 ) & 20.54375 & 0.149644987381561 & 137.283248570285 \tabularnewline
Trimmed Mean ( 60 / 92 ) & 20.5443037974684 & 0.14825027940811 & 138.578516543048 \tabularnewline
Trimmed Mean ( 61 / 92 ) & 20.5448717948718 & 0.146743799380319 & 140.005041995847 \tabularnewline
Trimmed Mean ( 62 / 92 ) & 20.5454545454545 & 0.145115682010984 & 141.579836587885 \tabularnewline
Trimmed Mean ( 63 / 92 ) & 20.5526315789474 & 0.144248836670571 & 142.480397439076 \tabularnewline
Trimmed Mean ( 64 / 92 ) & 20.56 & 0.143300813125766 & 143.474412681496 \tabularnewline
Trimmed Mean ( 65 / 92 ) & 20.5675675675676 & 0.142264589021324 & 144.572642490006 \tabularnewline
Trimmed Mean ( 66 / 92 ) & 20.5684931506849 & 0.142156790446532 & 144.68878402556 \tabularnewline
Trimmed Mean ( 67 / 92 ) & 20.5694444444444 & 0.142015126694176 & 144.839813358333 \tabularnewline
Trimmed Mean ( 68 / 92 ) & 20.5704225352113 & 0.141836734688713 & 145.028878311086 \tabularnewline
Trimmed Mean ( 69 / 92 ) & 20.5714285714286 & 0.141618473727876 & 145.259499201758 \tabularnewline
Trimmed Mean ( 70 / 92 ) & 20.5724637681159 & 0.141356892258717 & 145.535625744115 \tabularnewline
Trimmed Mean ( 71 / 92 ) & 20.5735294117647 & 0.141048189721306 & 145.861704800434 \tabularnewline
Trimmed Mean ( 72 / 92 ) & 20.5746268656716 & 0.140688172558459 & 146.242761502374 \tabularnewline
Trimmed Mean ( 73 / 92 ) & 20.5757575757576 & 0.140272203289314 & 146.6844969514 \tabularnewline
Trimmed Mean ( 74 / 92 ) & 20.5769230769231 & 0.139795141290283 & 147.193406630602 \tabularnewline
Trimmed Mean ( 75 / 92 ) & 20.578125 & 0.139251273602086 & 147.776924890486 \tabularnewline
Trimmed Mean ( 76 / 92 ) & 20.5793650793651 & 0.138634233662758 & 148.443602533458 \tabularnewline
Trimmed Mean ( 77 / 92 ) & 20.5806451612903 & 0.137936905321474 & 149.203326791516 \tabularnewline
Trimmed Mean ( 78 / 92 ) & 20.5819672131148 & 0.137151308771323 & 150.067596127951 \tabularnewline
Trimmed Mean ( 79 / 92 ) & 20.5833333333333 & 0.136268464086114 & 151.049866683211 \tabularnewline
Trimmed Mean ( 80 / 92 ) & 20.5847457627119 & 0.135278226763618 & 152.165993413568 \tabularnewline
Trimmed Mean ( 81 / 92 ) & 20.5862068965517 & 0.134169087928287 & 153.434797943584 \tabularnewline
Trimmed Mean ( 82 / 92 ) & 20.5877192982456 & 0.132927929425998 & 154.878808292181 \tabularnewline
Trimmed Mean ( 83 / 92 ) & 20.5892857142857 & 0.131539720640837 & 156.525235221563 \tabularnewline
Trimmed Mean ( 84 / 92 ) & 20.5909090909091 & 0.129987138996503 & 158.407279749907 \tabularnewline
Trimmed Mean ( 85 / 92 ) & 20.5925925925926 & 0.128250089006018 & 160.565912680391 \tabularnewline
Trimmed Mean ( 86 / 92 ) & 20.5849056603774 & 0.127782894080003 & 161.092811432878 \tabularnewline
Trimmed Mean ( 87 / 92 ) & 20.5769230769231 & 0.127224278813242 & 161.737392177548 \tabularnewline
Trimmed Mean ( 88 / 92 ) & 20.5686274509804 & 0.126563070512775 & 162.51681764393 \tabularnewline
Trimmed Mean ( 89 / 92 ) & 20.56 & 0.125786415094088 & 163.451673096981 \tabularnewline
Trimmed Mean ( 90 / 92 ) & 20.5510204081633 & 0.124879448690138 & 164.566873282378 \tabularnewline
Trimmed Mean ( 91 / 92 ) & 20.5416666666667 & 0.123824885783033 & 165.892877968487 \tabularnewline
Trimmed Mean ( 92 / 92 ) & 20.531914893617 & 0.122602496500489 & 167.467347563637 \tabularnewline
Median & 20 &  &  \tabularnewline
Midrange & 15 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 20.6158940397351 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 20.6158940397351 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 20.6158940397351 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 20.6158940397351 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 20.6158940397351 &  &  \tabularnewline
Midmean - Closest Observation & 20.6158940397351 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 20.6158940397351 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 20.6158940397351 &  &  \tabularnewline
Number of observations & 278 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275065&T=1

[TABLE]
[ROW][C]Central Tendency - Ungrouped Data[/C][/ROW]
[ROW][C]Measure[/C][C]Value[/C][C]S.E.[/C][C]Value/S.E.[/C][/ROW]
[ROW][C]Arithmetic Mean[/C][C]19.9964028776978[/C][C]0.306984304491087[/C][C]65.138193012335[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]0[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]0[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]20.6388088719935[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 92 )[/C][C]20.0035971223022[/C][C]0.305372603749868[/C][C]65.5055393858685[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 92 )[/C][C]20.0107913669065[/C][C]0.303879965359256[/C][C]65.8509729104684[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 92 )[/C][C]20[/C][C]0.302660290911565[/C][C]66.0806871617124[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 92 )[/C][C]20.0143884892086[/C][C]0.299813862512957[/C][C]66.7560476405379[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 92 )[/C][C]20.0143884892086[/C][C]0.299813862512957[/C][C]66.7560476405379[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 92 )[/C][C]20.0143884892086[/C][C]0.299813862512957[/C][C]66.7560476405379[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 92 )[/C][C]20.0647482014388[/C][C]0.283584477700567[/C][C]70.7540425489189[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 92 )[/C][C]20.0935251798561[/C][C]0.278938188615545[/C][C]72.0357627601527[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 92 )[/C][C]20.0935251798561[/C][C]0.278938188615545[/C][C]72.0357627601527[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 92 )[/C][C]20.0935251798561[/C][C]0.278938188615545[/C][C]72.0357627601527[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 92 )[/C][C]20.1330935251799[/C][C]0.272926149743633[/C][C]73.7675504677416[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 92 )[/C][C]20.1330935251799[/C][C]0.262447577132364[/C][C]76.7128191662668[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 92 )[/C][C]20.1330935251799[/C][C]0.262447577132364[/C][C]76.7128191662668[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 92 )[/C][C]20.1330935251799[/C][C]0.262447577132364[/C][C]76.7128191662668[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 92 )[/C][C]20.1330935251799[/C][C]0.262447577132364[/C][C]76.7128191662668[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 92 )[/C][C]20.1906474820144[/C][C]0.254683569933116[/C][C]79.2773852169451[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 92 )[/C][C]20.1906474820144[/C][C]0.254683569933116[/C][C]79.2773852169451[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 92 )[/C][C]20.2553956834532[/C][C]0.246547648038841[/C][C]82.1561099632237[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 92 )[/C][C]20.2553956834532[/C][C]0.246547648038841[/C][C]82.1561099632237[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 92 )[/C][C]20.1834532374101[/C][C]0.239840280856179[/C][C]84.1537258268686[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 92 )[/C][C]20.1834532374101[/C][C]0.239840280856179[/C][C]84.1537258268686[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 92 )[/C][C]20.2625899280576[/C][C]0.230457260650356[/C][C]87.9234174305295[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 92 )[/C][C]20.2625899280576[/C][C]0.230457260650356[/C][C]87.9234174305295[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 92 )[/C][C]20.2625899280576[/C][C]0.230457260650356[/C][C]87.9234174305295[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 92 )[/C][C]20.3525179856115[/C][C]0.220659021639726[/C][C]92.2351501170046[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 92 )[/C][C]20.2589928057554[/C][C]0.212562639224118[/C][C]95.3083424241597[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 92 )[/C][C]20.3561151079137[/C][C]0.202756905887137[/C][C]100.396654894925[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 92 )[/C][C]20.3561151079137[/C][C]0.202756905887137[/C][C]100.396654894925[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 92 )[/C][C]20.3561151079137[/C][C]0.202756905887137[/C][C]100.396654894925[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 92 )[/C][C]20.3561151079137[/C][C]0.202756905887137[/C][C]100.396654894925[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 92 )[/C][C]20.3561151079137[/C][C]0.202756905887137[/C][C]100.396654894925[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 92 )[/C][C]20.3561151079137[/C][C]0.202756905887137[/C][C]100.396654894925[/C][/ROW]
[ROW][C]Winsorized Mean ( 33 / 92 )[/C][C]20.3561151079137[/C][C]0.202756905887137[/C][C]100.396654894925[/C][/ROW]
[ROW][C]Winsorized Mean ( 34 / 92 )[/C][C]20.3561151079137[/C][C]0.202756905887137[/C][C]100.396654894925[/C][/ROW]
[ROW][C]Winsorized Mean ( 35 / 92 )[/C][C]20.3561151079137[/C][C]0.202756905887137[/C][C]100.396654894925[/C][/ROW]
[ROW][C]Winsorized Mean ( 36 / 92 )[/C][C]20.3561151079137[/C][C]0.202756905887137[/C][C]100.396654894925[/C][/ROW]
[ROW][C]Winsorized Mean ( 37 / 92 )[/C][C]20.3561151079137[/C][C]0.202756905887137[/C][C]100.396654894925[/C][/ROW]
[ROW][C]Winsorized Mean ( 38 / 92 )[/C][C]20.4928057553957[/C][C]0.190394945300811[/C][C]107.633139750735[/C][/ROW]
[ROW][C]Winsorized Mean ( 39 / 92 )[/C][C]20.4928057553957[/C][C]0.190394945300811[/C][C]107.633139750735[/C][/ROW]
[ROW][C]Winsorized Mean ( 40 / 92 )[/C][C]20.4928057553957[/C][C]0.190394945300811[/C][C]107.633139750735[/C][/ROW]
[ROW][C]Winsorized Mean ( 41 / 92 )[/C][C]20.4928057553957[/C][C]0.190394945300811[/C][C]107.633139750735[/C][/ROW]
[ROW][C]Winsorized Mean ( 42 / 92 )[/C][C]20.4928057553957[/C][C]0.190394945300811[/C][C]107.633139750735[/C][/ROW]
[ROW][C]Winsorized Mean ( 43 / 92 )[/C][C]20.4928057553957[/C][C]0.190394945300811[/C][C]107.633139750735[/C][/ROW]
[ROW][C]Winsorized Mean ( 44 / 92 )[/C][C]20.3345323741007[/C][C]0.177709050342479[/C][C]114.425980752878[/C][/ROW]
[ROW][C]Winsorized Mean ( 45 / 92 )[/C][C]20.3345323741007[/C][C]0.177709050342479[/C][C]114.425980752878[/C][/ROW]
[ROW][C]Winsorized Mean ( 46 / 92 )[/C][C]20.3345323741007[/C][C]0.177709050342479[/C][C]114.425980752878[/C][/ROW]
[ROW][C]Winsorized Mean ( 47 / 92 )[/C][C]20.3345323741007[/C][C]0.177709050342479[/C][C]114.425980752878[/C][/ROW]
[ROW][C]Winsorized Mean ( 48 / 92 )[/C][C]20.3345323741007[/C][C]0.177709050342479[/C][C]114.425980752878[/C][/ROW]
[ROW][C]Winsorized Mean ( 49 / 92 )[/C][C]20.3345323741007[/C][C]0.177709050342479[/C][C]114.425980752878[/C][/ROW]
[ROW][C]Winsorized Mean ( 50 / 92 )[/C][C]20.3345323741007[/C][C]0.177709050342479[/C][C]114.425980752878[/C][/ROW]
[ROW][C]Winsorized Mean ( 51 / 92 )[/C][C]20.3345323741007[/C][C]0.177709050342479[/C][C]114.425980752878[/C][/ROW]
[ROW][C]Winsorized Mean ( 52 / 92 )[/C][C]20.3345323741007[/C][C]0.177709050342479[/C][C]114.425980752878[/C][/ROW]
[ROW][C]Winsorized Mean ( 53 / 92 )[/C][C]20.5251798561151[/C][C]0.16177452302227[/C][C]126.875230244317[/C][/ROW]
[ROW][C]Winsorized Mean ( 54 / 92 )[/C][C]20.5251798561151[/C][C]0.16177452302227[/C][C]126.875230244317[/C][/ROW]
[ROW][C]Winsorized Mean ( 55 / 92 )[/C][C]20.5251798561151[/C][C]0.16177452302227[/C][C]126.875230244317[/C][/ROW]
[ROW][C]Winsorized Mean ( 56 / 92 )[/C][C]20.5251798561151[/C][C]0.16177452302227[/C][C]126.875230244317[/C][/ROW]
[ROW][C]Winsorized Mean ( 57 / 92 )[/C][C]20.5251798561151[/C][C]0.16177452302227[/C][C]126.875230244317[/C][/ROW]
[ROW][C]Winsorized Mean ( 58 / 92 )[/C][C]20.5251798561151[/C][C]0.16177452302227[/C][C]126.875230244317[/C][/ROW]
[ROW][C]Winsorized Mean ( 59 / 92 )[/C][C]20.5251798561151[/C][C]0.16177452302227[/C][C]126.875230244317[/C][/ROW]
[ROW][C]Winsorized Mean ( 60 / 92 )[/C][C]20.5251798561151[/C][C]0.16177452302227[/C][C]126.875230244317[/C][/ROW]
[ROW][C]Winsorized Mean ( 61 / 92 )[/C][C]20.5251798561151[/C][C]0.16177452302227[/C][C]126.875230244317[/C][/ROW]
[ROW][C]Winsorized Mean ( 62 / 92 )[/C][C]20.3021582733813[/C][C]0.145606278314147[/C][C]139.4318878859[/C][/ROW]
[ROW][C]Winsorized Mean ( 63 / 92 )[/C][C]20.3021582733813[/C][C]0.145606278314147[/C][C]139.4318878859[/C][/ROW]
[ROW][C]Winsorized Mean ( 64 / 92 )[/C][C]20.3021582733813[/C][C]0.145606278314147[/C][C]139.4318878859[/C][/ROW]
[ROW][C]Winsorized Mean ( 65 / 92 )[/C][C]20.5359712230216[/C][C]0.127566771315786[/C][C]160.982135168928[/C][/ROW]
[ROW][C]Winsorized Mean ( 66 / 92 )[/C][C]20.5359712230216[/C][C]0.127566771315786[/C][C]160.982135168928[/C][/ROW]
[ROW][C]Winsorized Mean ( 67 / 92 )[/C][C]20.5359712230216[/C][C]0.127566771315786[/C][C]160.982135168928[/C][/ROW]
[ROW][C]Winsorized Mean ( 68 / 92 )[/C][C]20.5359712230216[/C][C]0.127566771315786[/C][C]160.982135168928[/C][/ROW]
[ROW][C]Winsorized Mean ( 69 / 92 )[/C][C]20.5359712230216[/C][C]0.127566771315786[/C][C]160.982135168928[/C][/ROW]
[ROW][C]Winsorized Mean ( 70 / 92 )[/C][C]20.5359712230216[/C][C]0.127566771315786[/C][C]160.982135168928[/C][/ROW]
[ROW][C]Winsorized Mean ( 71 / 92 )[/C][C]20.5359712230216[/C][C]0.127566771315786[/C][C]160.982135168928[/C][/ROW]
[ROW][C]Winsorized Mean ( 72 / 92 )[/C][C]20.5359712230216[/C][C]0.127566771315786[/C][C]160.982135168928[/C][/ROW]
[ROW][C]Winsorized Mean ( 73 / 92 )[/C][C]20.5359712230216[/C][C]0.127566771315786[/C][C]160.982135168928[/C][/ROW]
[ROW][C]Winsorized Mean ( 74 / 92 )[/C][C]20.5359712230216[/C][C]0.127566771315786[/C][C]160.982135168928[/C][/ROW]
[ROW][C]Winsorized Mean ( 75 / 92 )[/C][C]20.5359712230216[/C][C]0.127566771315786[/C][C]160.982135168928[/C][/ROW]
[ROW][C]Winsorized Mean ( 76 / 92 )[/C][C]20.5359712230216[/C][C]0.127566771315786[/C][C]160.982135168928[/C][/ROW]
[ROW][C]Winsorized Mean ( 77 / 92 )[/C][C]20.5359712230216[/C][C]0.127566771315786[/C][C]160.982135168928[/C][/ROW]
[ROW][C]Winsorized Mean ( 78 / 92 )[/C][C]20.5359712230216[/C][C]0.127566771315786[/C][C]160.982135168928[/C][/ROW]
[ROW][C]Winsorized Mean ( 79 / 92 )[/C][C]20.5359712230216[/C][C]0.127566771315786[/C][C]160.982135168928[/C][/ROW]
[ROW][C]Winsorized Mean ( 80 / 92 )[/C][C]20.5359712230216[/C][C]0.127566771315786[/C][C]160.982135168928[/C][/ROW]
[ROW][C]Winsorized Mean ( 81 / 92 )[/C][C]20.5359712230216[/C][C]0.127566771315786[/C][C]160.982135168928[/C][/ROW]
[ROW][C]Winsorized Mean ( 82 / 92 )[/C][C]20.5359712230216[/C][C]0.127566771315786[/C][C]160.982135168928[/C][/ROW]
[ROW][C]Winsorized Mean ( 83 / 92 )[/C][C]20.5359712230216[/C][C]0.127566771315786[/C][C]160.982135168928[/C][/ROW]
[ROW][C]Winsorized Mean ( 84 / 92 )[/C][C]20.5359712230216[/C][C]0.127566771315786[/C][C]160.982135168928[/C][/ROW]
[ROW][C]Winsorized Mean ( 85 / 92 )[/C][C]20.841726618705[/C][C]0.106963237064692[/C][C]194.849437906408[/C][/ROW]
[ROW][C]Winsorized Mean ( 86 / 92 )[/C][C]20.841726618705[/C][C]0.106963237064692[/C][C]194.849437906408[/C][/ROW]
[ROW][C]Winsorized Mean ( 87 / 92 )[/C][C]20.841726618705[/C][C]0.106963237064692[/C][C]194.849437906408[/C][/ROW]
[ROW][C]Winsorized Mean ( 88 / 92 )[/C][C]20.841726618705[/C][C]0.106963237064692[/C][C]194.849437906408[/C][/ROW]
[ROW][C]Winsorized Mean ( 89 / 92 )[/C][C]20.841726618705[/C][C]0.106963237064692[/C][C]194.849437906408[/C][/ROW]
[ROW][C]Winsorized Mean ( 90 / 92 )[/C][C]20.841726618705[/C][C]0.106963237064692[/C][C]194.849437906408[/C][/ROW]
[ROW][C]Winsorized Mean ( 91 / 92 )[/C][C]20.841726618705[/C][C]0.106963237064692[/C][C]194.849437906408[/C][/ROW]
[ROW][C]Winsorized Mean ( 92 / 92 )[/C][C]20.841726618705[/C][C]0.106963237064692[/C][C]194.849437906408[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 92 )[/C][C]20.0326086956522[/C][C]0.298364150484476[/C][C]67.1414734750262[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 92 )[/C][C]20.0620437956204[/C][C]0.290945718623231[/C][C]68.9545936285125[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 92 )[/C][C]20.0882352941176[/C][C]0.283917999890427[/C][C]70.7536517651939[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 92 )[/C][C]20.1185185185185[/C][C]0.276934881594777[/C][C]72.6471089617263[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 92 )[/C][C]20.1455223880597[/C][C]0.270385132524396[/C][C]74.5067681790604[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 92 )[/C][C]20.1729323308271[/C][C]0.263439850573026[/C][C]76.575097833329[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 92 )[/C][C]20.2007575757576[/C][C]0.256058062160152[/C][C]78.8913163106068[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 92 )[/C][C]20.2213740458015[/C][C]0.251262796049343[/C][C]80.4789820210009[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 92 )[/C][C]20.2384615384615[/C][C]0.246966008701092[/C][C]81.9483687042801[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 92 )[/C][C]20.2558139534884[/C][C]0.242434971479654[/C][C]83.5515347883228[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 92 )[/C][C]20.2734375[/C][C]0.237650216136614[/C][C]85.3078858061957[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 92 )[/C][C]20.2874015748031[/C][C]0.233377038569062[/C][C]86.9297241030833[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 92 )[/C][C]20.3015873015873[/C][C]0.230104752522327[/C][C]88.2275879965472[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 92 )[/C][C]20.316[/C][C]0.226658492647323[/C][C]89.632644083676[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 92 )[/C][C]20.3306451612903[/C][C]0.223025162136254[/C][C]91.1585265382281[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 92 )[/C][C]20.3455284552846[/C][C]0.219190104694604[/C][C]92.8213820766765[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 92 )[/C][C]20.3565573770492[/C][C]0.215908310726037[/C][C]94.2833432793579[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 92 )[/C][C]20.3677685950413[/C][C]0.212446165548084[/C][C]95.8726110329885[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 92 )[/C][C]20.375[/C][C]0.209529342402811[/C][C]97.2417503264527[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 92 )[/C][C]20.3823529411765[/C][C]0.206453940348424[/C][C]98.7259090660997[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 92 )[/C][C]20.3940677966102[/C][C]0.203749194185352[/C][C]100.093980141377[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 92 )[/C][C]20.4059829059829[/C][C]0.200894501261285[/C][C]101.57561694256[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 92 )[/C][C]20.4137931034483[/C][C]0.198623597406192[/C][C]102.776273162052[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 92 )[/C][C]20.4217391304348[/C][C]0.196228503729365[/C][C]104.071216680122[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 92 )[/C][C]20.4298245614035[/C][C]0.193700404849022[/C][C]105.471253802115[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 92 )[/C][C]20.4336283185841[/C][C]0.191742228264609[/C][C]106.568221844096[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 92 )[/C][C]20.4419642857143[/C][C]0.190209471824435[/C][C]107.470800952449[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 92 )[/C][C]20.4459459459459[/C][C]0.189232132887695[/C][C]108.046903207925[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 92 )[/C][C]20.45[/C][C]0.188197298942313[/C][C]108.662558468857[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 92 )[/C][C]20.454128440367[/C][C]0.187101584734781[/C][C]109.320979132063[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 92 )[/C][C]20.4583333333333[/C][C]0.185941339512975[/C][C]110.02573923001[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 92 )[/C][C]20.4626168224299[/C][C]0.184712618901129[/C][C]110.780827775405[/C][/ROW]
[ROW][C]Trimmed Mean ( 33 / 92 )[/C][C]20.4669811320755[/C][C]0.183411152840878[/C][C]111.59071198812[/C][/ROW]
[ROW][C]Trimmed Mean ( 34 / 92 )[/C][C]20.4714285714286[/C][C]0.182032308894949[/C][C]112.460412636103[/C][/ROW]
[ROW][C]Trimmed Mean ( 35 / 92 )[/C][C]20.4759615384615[/C][C]0.180571050054305[/C][C]113.395594323141[/C][/ROW]
[ROW][C]Trimmed Mean ( 36 / 92 )[/C][C]20.4805825242718[/C][C]0.179021885992051[/C][C]114.402674347768[/C][/ROW]
[ROW][C]Trimmed Mean ( 37 / 92 )[/C][C]20.4852941176471[/C][C]0.177378816455122[/C][C]115.48895480893[/C][/ROW]
[ROW][C]Trimmed Mean ( 38 / 92 )[/C][C]20.490099009901[/C][C]0.175635265159539[/C][C]116.662784044472[/C][/ROW]
[ROW][C]Trimmed Mean ( 39 / 92 )[/C][C]20.49[/C][C]0.174504323138339[/C][C]117.418294466874[/C][/ROW]
[ROW][C]Trimmed Mean ( 40 / 92 )[/C][C]20.489898989899[/C][C]0.173301249351263[/C][C]118.23284059752[/C][/ROW]
[ROW][C]Trimmed Mean ( 41 / 92 )[/C][C]20.4897959183673[/C][C]0.172021227670149[/C][C]119.112020044738[/C][/ROW]
[ROW][C]Trimmed Mean ( 42 / 92 )[/C][C]20.4896907216495[/C][C]0.170659005209392[/C][C]120.062171325266[/C][/ROW]
[ROW][C]Trimmed Mean ( 43 / 92 )[/C][C]20.4895833333333[/C][C]0.169208837989314[/C][C]121.090503172342[/C][/ROW]
[ROW][C]Trimmed Mean ( 44 / 92 )[/C][C]20.4894736842105[/C][C]0.167664427568954[/C][C]122.205252368061[/C][/ROW]
[ROW][C]Trimmed Mean ( 45 / 92 )[/C][C]20.4946808510638[/C][C]0.166704134746782[/C][C]122.940447051266[/C][/ROW]
[ROW][C]Trimmed Mean ( 46 / 92 )[/C][C]20.5[/C][C]0.165675635378572[/C][C]123.735756034115[/C][/ROW]
[ROW][C]Trimmed Mean ( 47 / 92 )[/C][C]20.5054347826087[/C][C]0.164574168212988[/C][C]124.59692189403[/C][/ROW]
[ROW][C]Trimmed Mean ( 48 / 92 )[/C][C]20.510989010989[/C][C]0.163394530228498[/C][C]125.530450635683[/C][/ROW]
[ROW][C]Trimmed Mean ( 49 / 92 )[/C][C]20.510989010989[/C][C]0.162131021190512[/C][C]126.508726463196[/C][/ROW]
[ROW][C]Trimmed Mean ( 50 / 92 )[/C][C]20.5224719101124[/C][C]0.160777378982776[/C][C]127.645269750982[/C][/ROW]
[ROW][C]Trimmed Mean ( 51 / 92 )[/C][C]20.5284090909091[/C][C]0.159326703738586[/C][C]128.844748615342[/C][/ROW]
[ROW][C]Trimmed Mean ( 52 / 92 )[/C][C]20.5344827586207[/C][C]0.157771368270081[/C][C]130.153417465891[/C][/ROW]
[ROW][C]Trimmed Mean ( 53 / 92 )[/C][C]20.5406976744186[/C][C]0.15610291159532[/C][C]131.584334106901[/C][/ROW]
[ROW][C]Trimmed Mean ( 54 / 92 )[/C][C]20.5411764705882[/C][C]0.155221428209357[/C][C]132.334669945718[/C][/ROW]
[ROW][C]Trimmed Mean ( 55 / 92 )[/C][C]20.5416666666667[/C][C]0.154269659799349[/C][C]133.154287715317[/C][/ROW]
[ROW][C]Trimmed Mean ( 56 / 92 )[/C][C]20.5421686746988[/C][C]0.153242288391085[/C][C]134.050260475579[/C][/ROW]
[ROW][C]Trimmed Mean ( 57 / 92 )[/C][C]20.5426829268293[/C][C]0.152133466017754[/C][C]135.030663959447[/C][/ROW]
[ROW][C]Trimmed Mean ( 58 / 92 )[/C][C]20.5432098765432[/C][C]0.150936743629809[/C][C]136.104764038954[/C][/ROW]
[ROW][C]Trimmed Mean ( 59 / 92 )[/C][C]20.54375[/C][C]0.149644987381561[/C][C]137.283248570285[/C][/ROW]
[ROW][C]Trimmed Mean ( 60 / 92 )[/C][C]20.5443037974684[/C][C]0.14825027940811[/C][C]138.578516543048[/C][/ROW]
[ROW][C]Trimmed Mean ( 61 / 92 )[/C][C]20.5448717948718[/C][C]0.146743799380319[/C][C]140.005041995847[/C][/ROW]
[ROW][C]Trimmed Mean ( 62 / 92 )[/C][C]20.5454545454545[/C][C]0.145115682010984[/C][C]141.579836587885[/C][/ROW]
[ROW][C]Trimmed Mean ( 63 / 92 )[/C][C]20.5526315789474[/C][C]0.144248836670571[/C][C]142.480397439076[/C][/ROW]
[ROW][C]Trimmed Mean ( 64 / 92 )[/C][C]20.56[/C][C]0.143300813125766[/C][C]143.474412681496[/C][/ROW]
[ROW][C]Trimmed Mean ( 65 / 92 )[/C][C]20.5675675675676[/C][C]0.142264589021324[/C][C]144.572642490006[/C][/ROW]
[ROW][C]Trimmed Mean ( 66 / 92 )[/C][C]20.5684931506849[/C][C]0.142156790446532[/C][C]144.68878402556[/C][/ROW]
[ROW][C]Trimmed Mean ( 67 / 92 )[/C][C]20.5694444444444[/C][C]0.142015126694176[/C][C]144.839813358333[/C][/ROW]
[ROW][C]Trimmed Mean ( 68 / 92 )[/C][C]20.5704225352113[/C][C]0.141836734688713[/C][C]145.028878311086[/C][/ROW]
[ROW][C]Trimmed Mean ( 69 / 92 )[/C][C]20.5714285714286[/C][C]0.141618473727876[/C][C]145.259499201758[/C][/ROW]
[ROW][C]Trimmed Mean ( 70 / 92 )[/C][C]20.5724637681159[/C][C]0.141356892258717[/C][C]145.535625744115[/C][/ROW]
[ROW][C]Trimmed Mean ( 71 / 92 )[/C][C]20.5735294117647[/C][C]0.141048189721306[/C][C]145.861704800434[/C][/ROW]
[ROW][C]Trimmed Mean ( 72 / 92 )[/C][C]20.5746268656716[/C][C]0.140688172558459[/C][C]146.242761502374[/C][/ROW]
[ROW][C]Trimmed Mean ( 73 / 92 )[/C][C]20.5757575757576[/C][C]0.140272203289314[/C][C]146.6844969514[/C][/ROW]
[ROW][C]Trimmed Mean ( 74 / 92 )[/C][C]20.5769230769231[/C][C]0.139795141290283[/C][C]147.193406630602[/C][/ROW]
[ROW][C]Trimmed Mean ( 75 / 92 )[/C][C]20.578125[/C][C]0.139251273602086[/C][C]147.776924890486[/C][/ROW]
[ROW][C]Trimmed Mean ( 76 / 92 )[/C][C]20.5793650793651[/C][C]0.138634233662758[/C][C]148.443602533458[/C][/ROW]
[ROW][C]Trimmed Mean ( 77 / 92 )[/C][C]20.5806451612903[/C][C]0.137936905321474[/C][C]149.203326791516[/C][/ROW]
[ROW][C]Trimmed Mean ( 78 / 92 )[/C][C]20.5819672131148[/C][C]0.137151308771323[/C][C]150.067596127951[/C][/ROW]
[ROW][C]Trimmed Mean ( 79 / 92 )[/C][C]20.5833333333333[/C][C]0.136268464086114[/C][C]151.049866683211[/C][/ROW]
[ROW][C]Trimmed Mean ( 80 / 92 )[/C][C]20.5847457627119[/C][C]0.135278226763618[/C][C]152.165993413568[/C][/ROW]
[ROW][C]Trimmed Mean ( 81 / 92 )[/C][C]20.5862068965517[/C][C]0.134169087928287[/C][C]153.434797943584[/C][/ROW]
[ROW][C]Trimmed Mean ( 82 / 92 )[/C][C]20.5877192982456[/C][C]0.132927929425998[/C][C]154.878808292181[/C][/ROW]
[ROW][C]Trimmed Mean ( 83 / 92 )[/C][C]20.5892857142857[/C][C]0.131539720640837[/C][C]156.525235221563[/C][/ROW]
[ROW][C]Trimmed Mean ( 84 / 92 )[/C][C]20.5909090909091[/C][C]0.129987138996503[/C][C]158.407279749907[/C][/ROW]
[ROW][C]Trimmed Mean ( 85 / 92 )[/C][C]20.5925925925926[/C][C]0.128250089006018[/C][C]160.565912680391[/C][/ROW]
[ROW][C]Trimmed Mean ( 86 / 92 )[/C][C]20.5849056603774[/C][C]0.127782894080003[/C][C]161.092811432878[/C][/ROW]
[ROW][C]Trimmed Mean ( 87 / 92 )[/C][C]20.5769230769231[/C][C]0.127224278813242[/C][C]161.737392177548[/C][/ROW]
[ROW][C]Trimmed Mean ( 88 / 92 )[/C][C]20.5686274509804[/C][C]0.126563070512775[/C][C]162.51681764393[/C][/ROW]
[ROW][C]Trimmed Mean ( 89 / 92 )[/C][C]20.56[/C][C]0.125786415094088[/C][C]163.451673096981[/C][/ROW]
[ROW][C]Trimmed Mean ( 90 / 92 )[/C][C]20.5510204081633[/C][C]0.124879448690138[/C][C]164.566873282378[/C][/ROW]
[ROW][C]Trimmed Mean ( 91 / 92 )[/C][C]20.5416666666667[/C][C]0.123824885783033[/C][C]165.892877968487[/C][/ROW]
[ROW][C]Trimmed Mean ( 92 / 92 )[/C][C]20.531914893617[/C][C]0.122602496500489[/C][C]167.467347563637[/C][/ROW]
[ROW][C]Median[/C][C]20[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]15[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]20.6158940397351[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]20.6158940397351[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]20.6158940397351[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]20.6158940397351[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]20.6158940397351[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]20.6158940397351[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]20.6158940397351[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]20.6158940397351[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]278[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275065&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275065&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean19.99640287769780.30698430449108765.138193012335
Geometric Mean0
Harmonic Mean0
Quadratic Mean20.6388088719935
Winsorized Mean ( 1 / 92 )20.00359712230220.30537260374986865.5055393858685
Winsorized Mean ( 2 / 92 )20.01079136690650.30387996535925665.8509729104684
Winsorized Mean ( 3 / 92 )200.30266029091156566.0806871617124
Winsorized Mean ( 4 / 92 )20.01438848920860.29981386251295766.7560476405379
Winsorized Mean ( 5 / 92 )20.01438848920860.29981386251295766.7560476405379
Winsorized Mean ( 6 / 92 )20.01438848920860.29981386251295766.7560476405379
Winsorized Mean ( 7 / 92 )20.06474820143880.28358447770056770.7540425489189
Winsorized Mean ( 8 / 92 )20.09352517985610.27893818861554572.0357627601527
Winsorized Mean ( 9 / 92 )20.09352517985610.27893818861554572.0357627601527
Winsorized Mean ( 10 / 92 )20.09352517985610.27893818861554572.0357627601527
Winsorized Mean ( 11 / 92 )20.13309352517990.27292614974363373.7675504677416
Winsorized Mean ( 12 / 92 )20.13309352517990.26244757713236476.7128191662668
Winsorized Mean ( 13 / 92 )20.13309352517990.26244757713236476.7128191662668
Winsorized Mean ( 14 / 92 )20.13309352517990.26244757713236476.7128191662668
Winsorized Mean ( 15 / 92 )20.13309352517990.26244757713236476.7128191662668
Winsorized Mean ( 16 / 92 )20.19064748201440.25468356993311679.2773852169451
Winsorized Mean ( 17 / 92 )20.19064748201440.25468356993311679.2773852169451
Winsorized Mean ( 18 / 92 )20.25539568345320.24654764803884182.1561099632237
Winsorized Mean ( 19 / 92 )20.25539568345320.24654764803884182.1561099632237
Winsorized Mean ( 20 / 92 )20.18345323741010.23984028085617984.1537258268686
Winsorized Mean ( 21 / 92 )20.18345323741010.23984028085617984.1537258268686
Winsorized Mean ( 22 / 92 )20.26258992805760.23045726065035687.9234174305295
Winsorized Mean ( 23 / 92 )20.26258992805760.23045726065035687.9234174305295
Winsorized Mean ( 24 / 92 )20.26258992805760.23045726065035687.9234174305295
Winsorized Mean ( 25 / 92 )20.35251798561150.22065902163972692.2351501170046
Winsorized Mean ( 26 / 92 )20.25899280575540.21256263922411895.3083424241597
Winsorized Mean ( 27 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 28 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 29 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 30 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 31 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 32 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 33 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 34 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 35 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 36 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 37 / 92 )20.35611510791370.202756905887137100.396654894925
Winsorized Mean ( 38 / 92 )20.49280575539570.190394945300811107.633139750735
Winsorized Mean ( 39 / 92 )20.49280575539570.190394945300811107.633139750735
Winsorized Mean ( 40 / 92 )20.49280575539570.190394945300811107.633139750735
Winsorized Mean ( 41 / 92 )20.49280575539570.190394945300811107.633139750735
Winsorized Mean ( 42 / 92 )20.49280575539570.190394945300811107.633139750735
Winsorized Mean ( 43 / 92 )20.49280575539570.190394945300811107.633139750735
Winsorized Mean ( 44 / 92 )20.33453237410070.177709050342479114.425980752878
Winsorized Mean ( 45 / 92 )20.33453237410070.177709050342479114.425980752878
Winsorized Mean ( 46 / 92 )20.33453237410070.177709050342479114.425980752878
Winsorized Mean ( 47 / 92 )20.33453237410070.177709050342479114.425980752878
Winsorized Mean ( 48 / 92 )20.33453237410070.177709050342479114.425980752878
Winsorized Mean ( 49 / 92 )20.33453237410070.177709050342479114.425980752878
Winsorized Mean ( 50 / 92 )20.33453237410070.177709050342479114.425980752878
Winsorized Mean ( 51 / 92 )20.33453237410070.177709050342479114.425980752878
Winsorized Mean ( 52 / 92 )20.33453237410070.177709050342479114.425980752878
Winsorized Mean ( 53 / 92 )20.52517985611510.16177452302227126.875230244317
Winsorized Mean ( 54 / 92 )20.52517985611510.16177452302227126.875230244317
Winsorized Mean ( 55 / 92 )20.52517985611510.16177452302227126.875230244317
Winsorized Mean ( 56 / 92 )20.52517985611510.16177452302227126.875230244317
Winsorized Mean ( 57 / 92 )20.52517985611510.16177452302227126.875230244317
Winsorized Mean ( 58 / 92 )20.52517985611510.16177452302227126.875230244317
Winsorized Mean ( 59 / 92 )20.52517985611510.16177452302227126.875230244317
Winsorized Mean ( 60 / 92 )20.52517985611510.16177452302227126.875230244317
Winsorized Mean ( 61 / 92 )20.52517985611510.16177452302227126.875230244317
Winsorized Mean ( 62 / 92 )20.30215827338130.145606278314147139.4318878859
Winsorized Mean ( 63 / 92 )20.30215827338130.145606278314147139.4318878859
Winsorized Mean ( 64 / 92 )20.30215827338130.145606278314147139.4318878859
Winsorized Mean ( 65 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 66 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 67 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 68 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 69 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 70 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 71 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 72 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 73 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 74 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 75 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 76 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 77 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 78 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 79 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 80 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 81 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 82 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 83 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 84 / 92 )20.53597122302160.127566771315786160.982135168928
Winsorized Mean ( 85 / 92 )20.8417266187050.106963237064692194.849437906408
Winsorized Mean ( 86 / 92 )20.8417266187050.106963237064692194.849437906408
Winsorized Mean ( 87 / 92 )20.8417266187050.106963237064692194.849437906408
Winsorized Mean ( 88 / 92 )20.8417266187050.106963237064692194.849437906408
Winsorized Mean ( 89 / 92 )20.8417266187050.106963237064692194.849437906408
Winsorized Mean ( 90 / 92 )20.8417266187050.106963237064692194.849437906408
Winsorized Mean ( 91 / 92 )20.8417266187050.106963237064692194.849437906408
Winsorized Mean ( 92 / 92 )20.8417266187050.106963237064692194.849437906408
Trimmed Mean ( 1 / 92 )20.03260869565220.29836415048447667.1414734750262
Trimmed Mean ( 2 / 92 )20.06204379562040.29094571862323168.9545936285125
Trimmed Mean ( 3 / 92 )20.08823529411760.28391799989042770.7536517651939
Trimmed Mean ( 4 / 92 )20.11851851851850.27693488159477772.6471089617263
Trimmed Mean ( 5 / 92 )20.14552238805970.27038513252439674.5067681790604
Trimmed Mean ( 6 / 92 )20.17293233082710.26343985057302676.575097833329
Trimmed Mean ( 7 / 92 )20.20075757575760.25605806216015278.8913163106068
Trimmed Mean ( 8 / 92 )20.22137404580150.25126279604934380.4789820210009
Trimmed Mean ( 9 / 92 )20.23846153846150.24696600870109281.9483687042801
Trimmed Mean ( 10 / 92 )20.25581395348840.24243497147965483.5515347883228
Trimmed Mean ( 11 / 92 )20.27343750.23765021613661485.3078858061957
Trimmed Mean ( 12 / 92 )20.28740157480310.23337703856906286.9297241030833
Trimmed Mean ( 13 / 92 )20.30158730158730.23010475252232788.2275879965472
Trimmed Mean ( 14 / 92 )20.3160.22665849264732389.632644083676
Trimmed Mean ( 15 / 92 )20.33064516129030.22302516213625491.1585265382281
Trimmed Mean ( 16 / 92 )20.34552845528460.21919010469460492.8213820766765
Trimmed Mean ( 17 / 92 )20.35655737704920.21590831072603794.2833432793579
Trimmed Mean ( 18 / 92 )20.36776859504130.21244616554808495.8726110329885
Trimmed Mean ( 19 / 92 )20.3750.20952934240281197.2417503264527
Trimmed Mean ( 20 / 92 )20.38235294117650.20645394034842498.7259090660997
Trimmed Mean ( 21 / 92 )20.39406779661020.203749194185352100.093980141377
Trimmed Mean ( 22 / 92 )20.40598290598290.200894501261285101.57561694256
Trimmed Mean ( 23 / 92 )20.41379310344830.198623597406192102.776273162052
Trimmed Mean ( 24 / 92 )20.42173913043480.196228503729365104.071216680122
Trimmed Mean ( 25 / 92 )20.42982456140350.193700404849022105.471253802115
Trimmed Mean ( 26 / 92 )20.43362831858410.191742228264609106.568221844096
Trimmed Mean ( 27 / 92 )20.44196428571430.190209471824435107.470800952449
Trimmed Mean ( 28 / 92 )20.44594594594590.189232132887695108.046903207925
Trimmed Mean ( 29 / 92 )20.450.188197298942313108.662558468857
Trimmed Mean ( 30 / 92 )20.4541284403670.187101584734781109.320979132063
Trimmed Mean ( 31 / 92 )20.45833333333330.185941339512975110.02573923001
Trimmed Mean ( 32 / 92 )20.46261682242990.184712618901129110.780827775405
Trimmed Mean ( 33 / 92 )20.46698113207550.183411152840878111.59071198812
Trimmed Mean ( 34 / 92 )20.47142857142860.182032308894949112.460412636103
Trimmed Mean ( 35 / 92 )20.47596153846150.180571050054305113.395594323141
Trimmed Mean ( 36 / 92 )20.48058252427180.179021885992051114.402674347768
Trimmed Mean ( 37 / 92 )20.48529411764710.177378816455122115.48895480893
Trimmed Mean ( 38 / 92 )20.4900990099010.175635265159539116.662784044472
Trimmed Mean ( 39 / 92 )20.490.174504323138339117.418294466874
Trimmed Mean ( 40 / 92 )20.4898989898990.173301249351263118.23284059752
Trimmed Mean ( 41 / 92 )20.48979591836730.172021227670149119.112020044738
Trimmed Mean ( 42 / 92 )20.48969072164950.170659005209392120.062171325266
Trimmed Mean ( 43 / 92 )20.48958333333330.169208837989314121.090503172342
Trimmed Mean ( 44 / 92 )20.48947368421050.167664427568954122.205252368061
Trimmed Mean ( 45 / 92 )20.49468085106380.166704134746782122.940447051266
Trimmed Mean ( 46 / 92 )20.50.165675635378572123.735756034115
Trimmed Mean ( 47 / 92 )20.50543478260870.164574168212988124.59692189403
Trimmed Mean ( 48 / 92 )20.5109890109890.163394530228498125.530450635683
Trimmed Mean ( 49 / 92 )20.5109890109890.162131021190512126.508726463196
Trimmed Mean ( 50 / 92 )20.52247191011240.160777378982776127.645269750982
Trimmed Mean ( 51 / 92 )20.52840909090910.159326703738586128.844748615342
Trimmed Mean ( 52 / 92 )20.53448275862070.157771368270081130.153417465891
Trimmed Mean ( 53 / 92 )20.54069767441860.15610291159532131.584334106901
Trimmed Mean ( 54 / 92 )20.54117647058820.155221428209357132.334669945718
Trimmed Mean ( 55 / 92 )20.54166666666670.154269659799349133.154287715317
Trimmed Mean ( 56 / 92 )20.54216867469880.153242288391085134.050260475579
Trimmed Mean ( 57 / 92 )20.54268292682930.152133466017754135.030663959447
Trimmed Mean ( 58 / 92 )20.54320987654320.150936743629809136.104764038954
Trimmed Mean ( 59 / 92 )20.543750.149644987381561137.283248570285
Trimmed Mean ( 60 / 92 )20.54430379746840.14825027940811138.578516543048
Trimmed Mean ( 61 / 92 )20.54487179487180.146743799380319140.005041995847
Trimmed Mean ( 62 / 92 )20.54545454545450.145115682010984141.579836587885
Trimmed Mean ( 63 / 92 )20.55263157894740.144248836670571142.480397439076
Trimmed Mean ( 64 / 92 )20.560.143300813125766143.474412681496
Trimmed Mean ( 65 / 92 )20.56756756756760.142264589021324144.572642490006
Trimmed Mean ( 66 / 92 )20.56849315068490.142156790446532144.68878402556
Trimmed Mean ( 67 / 92 )20.56944444444440.142015126694176144.839813358333
Trimmed Mean ( 68 / 92 )20.57042253521130.141836734688713145.028878311086
Trimmed Mean ( 69 / 92 )20.57142857142860.141618473727876145.259499201758
Trimmed Mean ( 70 / 92 )20.57246376811590.141356892258717145.535625744115
Trimmed Mean ( 71 / 92 )20.57352941176470.141048189721306145.861704800434
Trimmed Mean ( 72 / 92 )20.57462686567160.140688172558459146.242761502374
Trimmed Mean ( 73 / 92 )20.57575757575760.140272203289314146.6844969514
Trimmed Mean ( 74 / 92 )20.57692307692310.139795141290283147.193406630602
Trimmed Mean ( 75 / 92 )20.5781250.139251273602086147.776924890486
Trimmed Mean ( 76 / 92 )20.57936507936510.138634233662758148.443602533458
Trimmed Mean ( 77 / 92 )20.58064516129030.137936905321474149.203326791516
Trimmed Mean ( 78 / 92 )20.58196721311480.137151308771323150.067596127951
Trimmed Mean ( 79 / 92 )20.58333333333330.136268464086114151.049866683211
Trimmed Mean ( 80 / 92 )20.58474576271190.135278226763618152.165993413568
Trimmed Mean ( 81 / 92 )20.58620689655170.134169087928287153.434797943584
Trimmed Mean ( 82 / 92 )20.58771929824560.132927929425998154.878808292181
Trimmed Mean ( 83 / 92 )20.58928571428570.131539720640837156.525235221563
Trimmed Mean ( 84 / 92 )20.59090909090910.129987138996503158.407279749907
Trimmed Mean ( 85 / 92 )20.59259259259260.128250089006018160.565912680391
Trimmed Mean ( 86 / 92 )20.58490566037740.127782894080003161.092811432878
Trimmed Mean ( 87 / 92 )20.57692307692310.127224278813242161.737392177548
Trimmed Mean ( 88 / 92 )20.56862745098040.126563070512775162.51681764393
Trimmed Mean ( 89 / 92 )20.560.125786415094088163.451673096981
Trimmed Mean ( 90 / 92 )20.55102040816330.124879448690138164.566873282378
Trimmed Mean ( 91 / 92 )20.54166666666670.123824885783033165.892877968487
Trimmed Mean ( 92 / 92 )20.5319148936170.122602496500489167.467347563637
Median20
Midrange15
Midmean - Weighted Average at Xnp20.6158940397351
Midmean - Weighted Average at X(n+1)p20.6158940397351
Midmean - Empirical Distribution Function20.6158940397351
Midmean - Empirical Distribution Function - Averaging20.6158940397351
Midmean - Empirical Distribution Function - Interpolation20.6158940397351
Midmean - Closest Observation20.6158940397351
Midmean - True Basic - Statistics Graphics Toolkit20.6158940397351
Midmean - MS Excel (old versions)20.6158940397351
Number of observations278



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
R code (references can be found in the software module):
geomean <- function(x) {
return(exp(mean(log(x))))
}
harmean <- function(x) {
return(1/mean(1/x))
}
quamean <- function(x) {
return(sqrt(mean(x*x)))
}
winmean <- function(x) {
x <-sort(x[!is.na(x)])
n<-length(x)
denom <- 3
nodenom <- n/denom
if (nodenom>40) denom <- n/40
sqrtn = sqrt(n)
roundnodenom = floor(nodenom)
win <- array(NA,dim=c(roundnodenom,2))
for (j in 1:roundnodenom) {
win[j,1] <- (j*x[j+1]+sum(x[(j+1):(n-j)])+j*x[n-j])/n
win[j,2] <- sd(c(rep(x[j+1],j),x[(j+1):(n-j)],rep(x[n-j],j)))/sqrtn
}
return(win)
}
trimean <- function(x) {
x <-sort(x[!is.na(x)])
n<-length(x)
denom <- 3
nodenom <- n/denom
if (nodenom>40) denom <- n/40
sqrtn = sqrt(n)
roundnodenom = floor(nodenom)
tri <- array(NA,dim=c(roundnodenom,2))
for (j in 1:roundnodenom) {
tri[j,1] <- mean(x,trim=j/n)
tri[j,2] <- sd(x[(j+1):(n-j)]) / sqrt(n-j*2)
}
return(tri)
}
midrange <- function(x) {
return((max(x)+min(x))/2)
}
q1 <- function(data,n,p,i,f) {
np <- n*p;
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q2 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q3 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
q4 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- (data[i]+data[i+1])/2
} else {
qvalue <- data[i+1]
}
}
q5 <- function(data,n,p,i,f) {
np <- (n-1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i+1]
} else {
qvalue <- data[i+1] + f*(data[i+2]-data[i+1])
}
}
q6 <- function(data,n,p,i,f) {
np <- n*p+0.5
i <<- floor(np)
f <<- np - i
qvalue <- data[i]
}
q7 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- f*data[i] + (1-f)*data[i+1]
}
}
q8 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
if (f == 0.5) {
qvalue <- (data[i]+data[i+1])/2
} else {
if (f < 0.5) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
}
}
midmean <- function(x,def) {
x <-sort(x[!is.na(x)])
n<-length(x)
if (def==1) {
qvalue1 <- q1(x,n,0.25,i,f)
qvalue3 <- q1(x,n,0.75,i,f)
}
if (def==2) {
qvalue1 <- q2(x,n,0.25,i,f)
qvalue3 <- q2(x,n,0.75,i,f)
}
if (def==3) {
qvalue1 <- q3(x,n,0.25,i,f)
qvalue3 <- q3(x,n,0.75,i,f)
}
if (def==4) {
qvalue1 <- q4(x,n,0.25,i,f)
qvalue3 <- q4(x,n,0.75,i,f)
}
if (def==5) {
qvalue1 <- q5(x,n,0.25,i,f)
qvalue3 <- q5(x,n,0.75,i,f)
}
if (def==6) {
qvalue1 <- q6(x,n,0.25,i,f)
qvalue3 <- q6(x,n,0.75,i,f)
}
if (def==7) {
qvalue1 <- q7(x,n,0.25,i,f)
qvalue3 <- q7(x,n,0.75,i,f)
}
if (def==8) {
qvalue1 <- q8(x,n,0.25,i,f)
qvalue3 <- q8(x,n,0.75,i,f)
}
midm <- 0
myn <- 0
roundno4 <- round(n/4)
round3no4 <- round(3*n/4)
for (i in 1:n) {
if ((x[i]>=qvalue1) & (x[i]<=qvalue3)){
midm = midm + x[i]
myn = myn + 1
}
}
midm = midm / myn
return(midm)
}
(arm <- mean(x))
sqrtn <- sqrt(length(x))
(armse <- sd(x) / sqrtn)
(armose <- arm / armse)
(geo <- geomean(x))
(har <- harmean(x))
(qua <- quamean(x))
(win <- winmean(x))
(tri <- trimean(x))
(midr <- midrange(x))
midm <- array(NA,dim=8)
for (j in 1:8) midm[j] <- midmean(x,j)
midm
bitmap(file='test1.png')
lb <- win[,1] - 2*win[,2]
ub <- win[,1] + 2*win[,2]
if ((ylimmin == '') | (ylimmax == '')) plot(win[,1],type='b',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(win[,1],type='l',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(ylimmin,ylimmax))
lines(ub,lty=3)
lines(lb,lty=3)
grid()
dev.off()
bitmap(file='test2.png')
lb <- tri[,1] - 2*tri[,2]
ub <- tri[,1] + 2*tri[,2]
if ((ylimmin == '') | (ylimmax == '')) plot(tri[,1],type='b',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(tri[,1],type='l',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(ylimmin,ylimmax))
lines(ub,lty=3)
lines(lb,lty=3)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Central Tendency - Ungrouped Data',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Measure',header=TRUE)
a<-table.element(a,'Value',header=TRUE)
a<-table.element(a,'S.E.',header=TRUE)
a<-table.element(a,'Value/S.E.',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('arithmetic_mean.htm', 'Arithmetic Mean', 'click to view the definition of the Arithmetic Mean'),header=TRUE)
a<-table.element(a,arm)
a<-table.element(a,hyperlink('arithmetic_mean_standard_error.htm', armse, 'click to view the definition of the Standard Error of the Arithmetic Mean'))
a<-table.element(a,armose)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('geometric_mean.htm', 'Geometric Mean', 'click to view the definition of the Geometric Mean'),header=TRUE)
a<-table.element(a,geo)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('harmonic_mean.htm', 'Harmonic Mean', 'click to view the definition of the Harmonic Mean'),header=TRUE)
a<-table.element(a,har)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('quadratic_mean.htm', 'Quadratic Mean', 'click to view the definition of the Quadratic Mean'),header=TRUE)
a<-table.element(a,qua)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
for (j in 1:length(win[,1])) {
a<-table.row.start(a)
mylabel <- paste('Winsorized Mean (',j)
mylabel <- paste(mylabel,'/')
mylabel <- paste(mylabel,length(win[,1]))
mylabel <- paste(mylabel,')')
a<-table.element(a,hyperlink('winsorized_mean.htm', mylabel, 'click to view the definition of the Winsorized Mean'),header=TRUE)
a<-table.element(a,win[j,1])
a<-table.element(a,win[j,2])
a<-table.element(a,win[j,1]/win[j,2])
a<-table.row.end(a)
}
for (j in 1:length(tri[,1])) {
a<-table.row.start(a)
mylabel <- paste('Trimmed Mean (',j)
mylabel <- paste(mylabel,'/')
mylabel <- paste(mylabel,length(tri[,1]))
mylabel <- paste(mylabel,')')
a<-table.element(a,hyperlink('arithmetic_mean.htm', mylabel, 'click to view the definition of the Trimmed Mean'),header=TRUE)
a<-table.element(a,tri[j,1])
a<-table.element(a,tri[j,2])
a<-table.element(a,tri[j,1]/tri[j,2])
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a,hyperlink('median_1.htm', 'Median', 'click to view the definition of the Median'),header=TRUE)
a<-table.element(a,median(x))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('midrange.htm', 'Midrange', 'click to view the definition of the Midrange'),header=TRUE)
a<-table.element(a,midr)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_1.htm','Weighted Average at Xnp',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[1])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_2.htm','Weighted Average at X(n+1)p',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[2])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_3.htm','Empirical Distribution Function',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[3])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_4.htm','Empirical Distribution Function - Averaging',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[4])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_5.htm','Empirical Distribution Function - Interpolation',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[5])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_6.htm','Closest Observation',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[6])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_7.htm','True Basic - Statistics Graphics Toolkit',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[7])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_8.htm','MS Excel (old versions)',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[8])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')